Artificial Neural Network-Based Scheme for 4-PWM OCC System

In the letter, an artificial neural network (ANN)-based scheme is proposed and experimentally demonstrated to alleviate the inter-symbol interference (ISI) from the overlap of the exposure time in 4-pulse width modulation (PWM) optical camera communication (OCC) system. By using ANN, it directly restores the gray value sequence to the corresponding data symbol. And down-sampling is not required. The experimental results show that, compared with the conventional demodulation scheme, the ANN demodulation scheme can effectively improve the data rate. When the symbol resolution is 6 pixels per symbol and the illuminance is 2440 lux, the bit error rate (BER) can be reduced to
$1.78\times 10^{-5}$
at the data rate of 15.84 kb/s in 4-PWM OCC system.